Data Visualization using Plotly

Summary

## 'data.frame':    32 obs. of  11 variables:
##  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
##  $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...
##  $ disp: num  160 160 108 258 360 ...
##  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
##  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
##  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
##  $ qsec: num  16.5 17 18.6 19.4 17 ...
##  $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...
##  $ am  : num  1 1 1 0 0 0 0 0 0 0 ...
##  $ gear: num  4 4 4 3 3 3 3 4 4 4 ...
##  $ carb: num  4 4 1 1 2 1 4 2 2 4 ...

For this project, I am showcasing Plotly used to compare different groups within the mtcars dataset. For this I will treat cylinders, engine shape (coded in vs variable) and transmission (coded in the am variable) in order to compare the result variable (mpg):

Handling factor variables

There are some considerations done while pre-processing the dataset:

• Cylinders are simply converted using as.factor
• Engine shape must be converted to factor first using the aforementioned function, then setting the levels as 0 = “V-shaped” and 1 = “straight”. This is indicated by the ?mtcars command.
• Similarly, transmission needs to be encoded as it follows: 0 = “Automatic” and 1 = “Manual”.

First Boxplot: MPG vs. Number of Cylinders

Second Boxplot: MPG vs. Engine Shape

Third Boxplot: MPG vs. Transmission